--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: albert-xxlarge-v2-finetuned-Poems results: [] --- # albert-xxlarge-v2-finetuned-Poems This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.1923 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-07 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.482 | 1.0 | 19375 | 2.2959 | | 2.258 | 2.0 | 38750 | 2.2357 | | 2.2146 | 3.0 | 58125 | 2.2085 | | 2.1975 | 4.0 | 77500 | 2.1929 | | 2.1893 | 5.0 | 96875 | 2.1863 | ### Framework versions - Transformers 4.20.0 - Pytorch 1.11.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1